Principal AWS Network Infrastructure Engineer

Tax Lead

Senior Machine Learning Engineer

New Business Specialist

Product Specialist – Pharma Sales

Asst Area Sales Manager

Intermediate / Senior Data Engineer

Principal Data Scientist

Senior AI Engineer

Data Engineer

Responsibilities: Design and Implementation:&nbsp; <ul><li>Architect and deploy scalable, secure, and highly available network infrastructure solutions in AWS</li></ul> Network Management:&nbsp; <ul><li>Manage and optimize AWS networking services such as VPC, Direct Connect, Route 53, CloudWAN, and Transit Gateway</li></ul> Security:&nbsp; <ul><li>Implement and maintain network security best practices, including firewalls, VPNs, and security groups</li></ul> Automation:&nbsp; <ul><li>Develop and maintain automation scripts using tools like Terraform, CloudFormation, and Python</li></ul> Monitoring and Troubleshooting:&nbsp; <ul><li>Monitor network performance and troubleshoot issues to ensure optimal performance and reliability</li></ul> Collaboration:&nbsp; <ul><li>Work with cross-functional teams to support application development and deployment</li></ul> Documentation:&nbsp; <ul><li>Create and maintain detailed network documentation and diagrams</li></ul> Cost Management:&nbsp; <ul><li>Monitor and optimize cloud costs, implementing cost-saving measures where possible</li></ul> Compliance and Governance:&nbsp; <ul><li>Ensure that all cloud network solutions comply with our client standards</li></ul> Performance Tuning:&nbsp; <ul><li>Continuously improve the performance and reliability of network systems</li></ul> Incident Response:&nbsp; <ul><li>Lead incident response efforts for network-related issues and outages</li></ul> Training and Mentorship:&nbsp; <ul><li>Provide training and mentorship to junior network engineers and other team members</li></ul> Innovation/Continuous Learning:&nbsp; <ul><li>Stay updated with the latest cloud networking technologies and propose innovative solutions to improve the infrastructure</li></ul> Business Competencies: <ul><li class="ql-indent-1">Adaptable to work effectively within a variety of situations and with various individuals, groups or independently</li><li class="ql-indent-1">Ability to document and communicate effectively, explaining technical concepts and network initiatives in business terms in both individual and group settings</li><li class="ql-indent-1">Must be tenacious, overcoming obstacles and identifying risks</li><li class="ql-indent-1">Attention to detail will be critical to assist with the successful implementation of initiatives</li></ul> Requirements: <ul><li class="ql-indent-1">10+ years of experience in IT, with at least 5+ years in AWS cloud engineering and architecture.</li><li class="ql-indent-1">Strong understanding of AWS network infrastructure and service integration, including VPC, IAM, Transit Gateway, and CloudFormation, and how AWS services such as EC2, EKS, RDS, S3, and Lambda operate within those network architectures.</li><li class="ql-indent-1">Strong experience with Terraform, CloudFormation, and automation scripting (Bash, Python, PowerShell).</li><li class="ql-indent-1">Proficiency in monitoring and logging tools (DataDog, Splunk, Coralogix, CloudWatch).</li></ul> Technical Skills: <ul><li class="ql-indent-1">In-depth knowledge of AWS networking services and best practices, such as VPC, AWS Firewall, Transit Gateway, WAF, Security Groups, CloudWAN, NACLS, Shield Advance, and Direct Connect</li><li class="ql-indent-1">Advanced understanding of networking protocols and services such as BGP, OSPF, TCP/IP, DNS, DHCP, and VPNs</li><li class="ql-indent-1">Proficiency in network security principles and tools</li><li class="ql-indent-1">Skilled in network automation and scripting</li><li class="ql-indent-1">Experience in developing IaC with advanced skills in tools such as Terraform, AWS CloudFormation, and Ansible for automating infrastructure deployment and management</li><li class="ql-indent-1">Familiar with DevOps practices / CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions to automate testing and deployment</li></ul>&nbsp;

Responsibilities: Direct &amp; Indirect Tax Compliance: <ul><li>Lead monthly, quarterly and annual compliance for corporate income tax, TDS/TCS, GST and other indirect taxes.</li><li>Oversee preparation and filing of income tax returns, GST returns and related statutory filings within timelines.</li><li>Ensure accuracy of tax provisioning, reconciliations and workpapers for statutory and internal reporting.</li><li>International Taxation</li></ul> Transfer Pricing: <ul><li>Own transfer pricing policy and documentation (Master File, Local File), benchmarking studies and intercompany pricing reviews.</li><li>Manage TP audits, coordinate APAs/MAPs and defend positions before tax authorities.</li></ul> Audit, Assessments &amp; Dispute Management: <ul><li>Manage tax audits/assessments, prepare responses and coordinate with external counsel/advisors.</li><li>Track litigations, maintain position papers, risk assessments and provisions as required.</li></ul> Advisory &amp; Controls: <ul><li>Provide tax inputs for business initiatives, contracts, M&amp;A, restructurings and product pricing.</li><li>Implement and maintain tax policies, internal controls and SOPs to mitigate risk.</li></ul> Process, Team &amp; Stakeholder Management: <ul><li>Coordinate with accounting, payroll and legal for information and cohesive execution.</li><li>Communicate tax positions and risks to finance controller and tax head</li></ul> Requirements: <ul><li>Chartered Accountant (CA) with 8–10 years progressive experience in India taxation covering direct tax, GST, international tax and transfer pricing.</li><li>Proven experience in a corporate tax function, Big Four or reputable tax advisory firm.</li><li>Experience handling tax audits, assessments, litigation support and interactions with tax authorities.</li><li>Experience with tax provisions under Ind AS/IFRS preferred.</li><li>Having certifications related to taxation is a plus</li><li>Excellent communication skills (written and verbal); fluent in English</li><li>Detail-oriented with a high sense of urgency and exceptional organizational skills</li><li>Excellent interpersonal and conflict management skills with the ability to operate with a team, customer service, and leadership mentality</li><li>Ability to effectively lead, manage, and prioritize multiple projects, while operating in a fast-paced, complex global organization with shifting schedules and priorities</li><li>Solid working experience and knowledge of SAP, BI tools and office software (Excel).</li></ul>

Role Description: <ul><li>Working closely with the Data Scientists and be responsible for implementing large language models (LLMs) based applications, working with proprietary and open-source Models as well as popular frameworks such as Lang Chain to ensure seamless integration and deployment.</li></ul> Responsibilities: <ul><li>Building standalone applications that interact with LLM models.</li><li>Building RAG-based applications.</li><li>Understanding of Vector DBs like Solr for LLM based applications</li><li>Integrate models with existing systems and APIs.</li><li>Implement production quality ETL jobs</li><li>Preprocess and manage data for training and deployment.</li><li>Collaborate with cross-functional teams to define, design, and ship new features.</li><li>Write clean, maintainable, and efficient code.</li><li>Document development processes, code, and APIs.</li></ul> Requirements: <ul><li>Degree in Computer Science, Data Science, or related field.• Proven experience in building customer facing ML based APIs</li><li>Mexico City–based (or nearby), available to work onsite 2 days per week at Glorietadel Ahuehuete, Reforma.</li><li>Experience in developing applications that are scalable to handle TBs of data</li><li>Strong knowledge of API integration (RESTful, GraphQL).</li><li>Experience with data preprocessing, SQL, and NoSQL databases as well as vector stores (e.g., Postgres, MySQL, Solr, Elasticsearch/OpenSearch, etc.).</li><li>Familiarity with deployment tools (Docker, Kubernetes).</li><li>Experience with DevOps tools like Jenkins, Terraform, Cloud Formation templates is highly preferred.</li><li>Excellent problem-solving and communication skills.</li><li>Experience with Spark/Hadoop, EMR or any other Big Data technology would be a plus</li><li>Experience working on agents is considered a good-to-have</li><li>Familiarity with agents, even through courses Work in a way that works for you We promote a healthy work/life balance across the organization..</li></ul> Other Information: These are some of the benefits we are delighted to offer: <ul><li>Private Medical/Dental Plan.</li><li>Savings Fund.</li><li>Life Insurance.</li><li>Meal/Grocery Voucher.</li><li>We offer an appealing working prospect for our people.</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.</li><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you.</li><li>We know that your well-being and happiness are key to a long and successful career.</li></ul>

Responsibilities: <ul><li>Driving new business and uncovering new opportunities.</li><li>Building authentic, value-based relationships with clients.</li><li>Using our sales methodology to guide the full sales cycle.</li><li>Collaborating closely with a high-performing, supportive team.</li><li>Leading client meetings, demos, and solution presentations.</li><li>Negotiating deals and getting creative with proposals.</li><li>Contributing ideas, energy, and momentum to a fast-moving sales team.</li></ul> Requirements: <ul><li>3+ years of B2B sales experience.</li><li>Industry background in Legal, Compliance, Professional, Corporate or related areas (Preferred).</li><li>Software sales or SAAS background (Preferred).</li><li>Proven experience smashing BDM targets, ideally in the compliance or legal tech space.</li><li>A strong track record managing full sales cycles end to end.</li><li>Top-tier presentation and communication skills.</li><li>Confidence engaging with C-level stakeholders in a consultative manner.</li><li>Solid CRM skills (Salesforce knowledge = bonus points).</li></ul>

Responsibilities:&nbsp; <ul><li>Execute sales and marketing activities to achieve sales targets assigned.&nbsp;</li><li>Track sales progress against key performance indicators and sales plans. Prioritize and review daily sales activities with the Sales Manager/Business Unit Head to enable an efficient and effective work execution.&nbsp;</li><li>Deliver product presentations to the healthcare professionals to ensure thorough understanding of the products.&nbsp;</li><li>Identify and develop new business opportunities with new and existing healthcare professionals to expand customer base and market share.&nbsp;</li><li>Support internal stakeholders in relationship development with key customers. Conduct market and competitor research on project basis.&nbsp;&nbsp;</li><li>Ensure compliance with the company policies and the local industry’s code of conduct to ensure that the company conducts business with integrity.&nbsp;</li></ul> Requirements:&nbsp; <ul><li>Degree or professional qualification in a Science- or Medical-related discipline.&nbsp;</li><li>Minimum of 1 year working experience in dealing with healthcare professionals at pharmaceutical or medical device industry.&nbsp;</li><li>Willing to travel outstation and cover more than one area.&nbsp;</li><li>Possess business awareness and analytical skills, strong communication and negotiation skill and able to work and travel independently.&nbsp;&nbsp;</li><li>Proficient in English, both written and spoken.&nbsp;</li><li>A valid driving license with an own car.</li></ul>

Role Description: <ul><li>The Area Sales &amp; Business Development Manager Congo will be responsible for managing sales operations within a specific geographical region, focusing on building relationships with distributors, retailers, and users to achieve sales targets and grow business within the Congolese market.</li></ul> Responsibilities: <ul><li>Delivering sales targets within assigned territory by driving the core business and identifying new business opportunities.</li><li>Responsible for demand generation of key products through relevant user marketing to achieve desired results.&nbsp;</li><li>Managing relationships with importers, important wholesale &amp; retail outlets &amp; potential influencers.&nbsp;</li><li>Ensure timely Primary Order collection and maintaining commercial hygiene, pricing for country.</li><li>Support leadership to drive the BTL objectives aligned for the said cluster/ region. In addition, conduct monthly business reviews with local team against the said BTL target and prepare way forward plans with distributors, local teams with proper maintenance of data base for sales &amp; demand generation for focused products as applicable.</li><li>Working regularly in the market and providing insights basis product usage, competitor information and charting a proper plan to address the same.&nbsp;</li><li>Ensuring timely submission of claims with proper documentation as applicable to the categories in the country.</li></ul> Requirements: <ul><li>Candidates with Min 3 Years experience in Managerial Sales or User Marketing roles.</li><li>Should be well versed with the local language (Lingala), French and English.</li><li>Candidates from Paints &amp; Hardware, Adhesives, Construction Chemical and Building Materials will be preferred.</li><li>Graduate from a recognized university.</li></ul> Location: <ul><li>Kinshasa:Should be well versed with local language- Lingala besides French &amp; English</li><li class="ql-align-justify">Lubumbashi: Should be well versed with local language- Swahili besides French &amp; English</li></ul>

Responsibilities: <ul><li>Designing, implementing, and optimising scalable data pipelines using Python, PySpark, and Databricks.</li><li>Driving the delivery of customer-facing data products through APIs, Databricks-based sharing, and event-driven mechanisms (e.g., Kafka or similar).</li><li>Taking ownership of end-to-end features — from scoping and development to deployment and monitoring.</li><li>Leading and participating in technical design discussions, contributing to architectural improvements and long-term data strategy.</li><li>Mentoring and coaching junior engineers actively while supporting their technical and professional development.</li><li>Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.</li><li>Conducting peer code reviews, upholding code quality standards, and championing continuous improvement practices.</li><li>Contributing to the team’s agile delivery process and provide input during planning and retrospectives.</li></ul> Requirements: <ul><li>Have extensive experience in data engineering or backend software engineering with a data focus.</li><li>Be proficient in Python, PySpark, and working within Databricks environments.</li><li>Have hands-on experience designing and delivering data products via REST APIs, event-driven systems, or data sharing platforms like Databricks Delta Sharing.</li><li>Have a solid understanding of distributed data processing, ETL/ELT workflows, and data lake/lakehouse architectures.</li><li>Have experience with cloud platforms (e.g., AWS, Azure, GCP) and modern data tooling.</li><li>Have a proven track record of mentoring or coaching other engineers.</li><li>Have effective communication and collaboration skills, including the ability to explain complex concepts to non-technical stakeholders.</li><li>Be familiar with agile development practices</li></ul>

Responsibilities: <ul><li>Design, build, and optimise agentic systems capable of breaking down complex tasks into executable steps.&nbsp;</li><li>Innovate in context engineering strategies (retrieval-augmented generation, dynamic context construction, memory management) to maximise LLM effectiveness.&nbsp;</li><li>Select, fine-tune, and adapt large language models (LLMs) to align with agent objectives.&nbsp;</li><li>Enhance and extend evaluation frameworks for online and offline performance, efficiency, and success rates.&nbsp;</li><li>Select, benchmark, and host LLMs on Amazon SageMaker or EKS, comparing and optimising models to ensure agentic systems are fast, accurate, and cost-effective.&nbsp;</li><li>Own and prioritise a backlog of improvements to core intelligence, applying methods such as RLHF and self-learning agents.&nbsp;</li><li>Collaborate with AI engineering and product teams to deliver production-ready solutions.&nbsp;</li><li>Mentor and supervise junior data scientists and foster a culture of innovation, collaboration, and continuous improvement.&nbsp;</li></ul> Requirements: <ul><li>PhD in AI, Computer Science, Mathematics or a related field; or Master’s with equivalent experience.&nbsp;</li><li>Hands-on experience in LLMs or applied AI research in a commercial environment.&nbsp;</li><li>Proven expertise in context engineering, LLM fine-tuning, and evaluation of non-deterministic systems.&nbsp;&nbsp;</li><li>Strong programming skills in Python and proficiency in deep learning frameworks (e.g., PyTorch)&nbsp;</li><li>Strong problem-solving, analytical, and communication skills.&nbsp;</li><li>Demonstrated ability to work collaboratively with engineering and product stakeholders in an agile environment.&nbsp;</li></ul>

Role Description: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Transition legacy data systems to Databricks.</li><li>Build and maintain robust, scalable data pipelines.</li><li>Work closely with subject matter experts, product teams, and stakeholders to understand business logic.</li><li>Apply best practices in data engineering and programming.</li><li>Mentor junior engineers and contribute to knowledge sharing.</li><li>Participate in code reviews and technical discussions.</li></ul> Requirements: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul> Why Join Us <ul><li>Opportunity to work on a strategic, high-impact data platform transformation.</li><li>Exposure to cutting-edge technologies including Databricks and cloud platforms.</li><li>Collaborative, inclusive team culture with strong mentorship.</li><li>Clear opportunities for career growth and skill development.</li></ul>

Role Overview: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.&nbsp;</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Lead the transition of legacy data systems to Databricks, ensuring reliability and performance.</li><li>Design, build, and maintain robust, scalable data pipelines to support analytical and operational use cases.</li><li>Collaborate closely with subject matter experts, product teams, and business stakeholders to understand and implement business logic accurately.</li><li>Apply data engineering and programming best practices to ensure high-quality, maintainable, and secure solutions.</li><li>Mentor junior engineers, fostering technical growth and promoting knowledge sharing across the team.</li><li>Participate in code reviews, architectural discussions, and technical decision-making to uphold engineering standards.</li></ul> Requirements:&nbsp; Required Skills &amp; Experience: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience: <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul>

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28 head of itsm Jobs found

Principal AWS Network Infrastructure Engineer

Tax Lead

Senior Machine Learning Engineer

New Business Specialist

Product Specialist – Pharma Sales

Asst Area Sales Manager

Intermediate / Senior Data Engineer

Principal Data Scientist

Senior AI Engineer

Data Engineer

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Skills

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28 head of itsm Jobs found

Principal AWS Network Infrastructure Engineer

Tax Lead

Senior Machine Learning Engineer

New Business Specialist

Product Specialist – Pharma Sales

Asst Area Sales Manager

Intermediate / Senior Data Engineer

Principal Data Scientist

Senior AI Engineer

Data Engineer

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