software engineer

engineering manager

software engineer ii

engineer

engineer specials

ai ml engineer

Recro

<div>
 
 
 Job Description
 
 
 
 We are looking for a skilled Generative AI Developer to join our Controls Technology team
 
 
 and contribute to the development and integration of innovative generative AI solutions. In
 
 
 this role, you&rsquo;ll work closely with senior developers, AI architects, and business
 
 
 stakeholders to deliver impactful AI-driven features and products.
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Implement and fine-tune generative AI models under the guidance of senior team
 
 
 members.
 
 
 &bull; Contribute to prompt engineering and development of AI-powered workflows.
 
 
 &bull; Assist with the deployment, monitoring, and maintenance of AI models in
 
 
 production environments.
 
 
 &bull; Collaborate with data scientists and engineers to ensure seamless integration of AI
 
 
 capabilities.
 
 
 &bull; Perform data preprocessing, feature engineering, and API development for AI
 
 
 applications.
 
 
 &bull; Participate in code reviews, testing, and documentation to ensure quality and
 
 
 reliability.
 
 
 &bull; Stay updated with advancements in GenAI and share relevant learnings with the
 
 
 team.
 
 
 
 Required Technical Skills:
 
 
 
 &bull; Hands-on experience with at least one major machine learning framework (PyTorch,
 
 
 TensorFlow, Keras).
 
 
 &bull; Familiarity with LLMs, prompt engineering, and fine-tuning (e.g., LoRA, QLoRA).
 
 
 &bull; Exposure to RAG systems and basic knowledge of hybrid search techniques.
 
 
 &bull; Understanding of model deployment and containerization (Docker).
 
 
 &bull; Proficiency in Python for AI development, data preprocessing, and scripting.
 
 
 &bull; Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a
 
 
 plus.
 
 
 &bull; Understanding of version control systems (Git).
 
 
 &bull; Awareness of AI compliance, data privacy, and responsible AI principles.
 
 
 Required Soft Skills:
 
 
 &bull; Strong teamwork and communication abilities.
 
 
 &bull; Willingness to learn new AI/ML technologies and frameworks.
 
 
 &bull; Analytical mindset and attention to detail.
 
 
 &bull; Openness to feedback and continuous improvement.
 
 
 
 Qualifications:
 
 
 
 &bull; Bachelor&rsquo;s degree or Master&rsquo;s degree in Computer Science, Data Science, AI, or a
 
 
 related field.
 
 
 &bull; 3&ndash;5 years of professional experience in AI/ML development, with exposure to
 
 
 Generative AI.
 
 
 &bull; Experience delivering AI/ML projects in a collaborative setting.
 
 
 &bull; Exposure to cloud-based AI/ML environments (AWS, GCP, or Azure) is a plus.
 
</div>

Machine Learning Engineer

Capgemini

<div>
 
 Job Description
 
 
 
 
 Required Skills
 
 
 
 <ul>
 <li>
 Experience in AI/ML, Applied Data Science, or related fields.
 </li>
 <li>
 Advanced proficiency in Python (Pandas, NumPy, FastAPI, Async frameworks preferred).
 </li>
 <li>
 Strong experience with Git, GitHub workflows, and collaborative development.
 </li>
 <li>
 Hands-on with LLMs (GPT, Llama, Mistral, Claude, etc.) RAG pipelines, and embeddings.
 </li>
 <li>
 Proficient in LangChain, LlamaIndex, CrewAI, or similar agent frameworks.
 </li>
 <li>
 Experience building AI Agents and Multi-Agent Systems.
 </li>
 <li>
 Strong understanding of software scalability, distributed systems, and enterprise patterns.
 </li>
 <li>
 Practical knowledge of Azure cloud services or other major cloud providers.
 </li>
 <li>
 Familiar with Docker, APIs, microservices, and REST/GraphQL integrations.
 </li>
 <li>
 Exposure to MLOps, CI/CD, monitoring tools, and production workflows.
 
 
 </li>
 </ul>
 
 Desired Skills
 
 
 
 <ul>
 <li>
 Experience with MCP (Model Context Protocol) for agent-based tooling.
 </li>
 <li>
 Databricks, Spark, Delta Lake, and enterprise data platforms.
 </li>
 <li>
 Experiment tracking (MLflow), vector databases (Pinecone/FAISS), or Neo4j.
 </li>
 <li>
 Experience with autonomous workflow tools like n8n, Airflow, or Temporal.
 
 
 </li>
 </ul>
 
 Mandatory Skills
 
 
 
 Python, Pandas/Numpy/FastAPI, LLM, cloud Services, MLOps
 
 
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 
 Job Description - Grade Specific
 
 
 
 Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.
</div>

Data Scientist

Aditi Consulting

<div>
 
 
 
 
 Required Skills/Experience:
 
 
 
 <ul>
 <li>
 
 
 Core Skills: Experience delivering AIML production systems, conversational AI, LLMs, GPT models.
 
 
 </li>
 <li>
 
 
 Programming: Python and AIML libraries.
 
 
 </li>
 <li>
 
 
 Cloud/Platforms: Azure AI, Snowflake.
 
 
 </li>
 <li>
 
 
 Key Concept: Agent workflow - automating tasks by chaining AI agents (e.g., for recruitment sourcing).
 
 
 </li>
 <li>
 
 
 Traditional ML: Ability to build, train, and deploy custom ML models.
 
 
 </li>
 <li>
 
 
 Vector Database: Hands-on experience with vector databases for semantic search and efficient data retrieval in RAG implementations.
 
 
 </li>
 <li>
 
 
 Snowflake Cortex: Strong experience in Snowflake, specifically Snowflake Cortex for building internal UIs and applications. 1-2 years hands-on experience in Snowflake is sufficient.
 
 
 </li>
 <li>
 
 
 LLMs Used: Azure AI (GPT-4, GPT 4.2), exploring Gemini Pro. Traditional models include Llama-based models (e.g., 70 billion parameters).
 
 
 </li>
 <li>
 
 
 Data Sources: Primarily Snowflake data lake, potentially Azure and AWS S3.
 
 
 </li>
 <li>
 
 
 Financial Background: Good to have experience in financial or regulated industries, or an understanding of finance-related business questions.
 
 
 </li>
 <li>
 
 
 Testing: Basic unit testing and generation of unit test cases are required.
 
 
 </li>
 </ul>
 
 &nbsp;
 
 
 #AditiConsulting
 
 
 
 #26-00546
 
 
 
</div>

SkilloVilla

<div>
 
 
 About the Job
 
 
 
 We are looking for a Data Scientist proficient with AI/ML/NLP/CV/GenAI. Your primary focus will be designing and developing curriculum for our new AI focused programs.
 
 
 
 
 
 
 Location: Bengaluru (Work from Office)
 
 
 
 
 Duration: 6 Months + PPO (based on performance)
 
 
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 Certificate of Internship
 </li>
 <li>
 Competitive compensation
 </li>
 <li>
 An opportunity to
 
 convert the internship to a full-time role
 
 </li>
 <li>
 Get
 
 mentoring from the COO and CTO
 
 </li>
 <li>
 Work in an agile environment on quality problems
 </li>
 </ul>
 
 
 
 
 
 Roles and Responsibilities
 
 
 <ul>
 <li>
 Work closely with program managers and industry experts to design and evolve the Data Science curriculum, with a specific focus on
 
 ML/DL/GenAI/NLP/CV
 
 .
 </li>
 <li>
 Design and build high-quality learning products that are focused on
 
 real-world applications and employment
 
 .
 </li>
 <li>
 Collaborate cross-functionally with teams to ensure a seamless development process for
 
 course materials and related content
 
 (video lectures, reading materials, problem statements, case studies).
 </li>
 <li>
 Stay updated with the latest
 
 trends and industry developments in Data Science
 
 to ensure the curriculum remains relevant and up-to-date.
 </li>
 <li>
 Manage and track student progress through assignments, quizzes, and other assessments.
 </li>
 </ul>
 
 
 
 
 
 Skills Required
 
 
 
 
 
 Bare Minimum
 
 
 
 <ul>
 <li>
 Knowledge: A solid understanding of Data Science, specifically in areas such as ML, DL, and NLP, with practical project development experience in these areas as well.
 </li>
 <li>
 Education: BCA or BTech in AI, ML, Data Science, Engineering, or relevant fields. Freshers are welcome to apply.
 </li>
 <li>
 Programming: Hands-on experience with Python (pandas, numpy, scipy, matplotlib), including DSA, and knowledge of popular ML frameworks like TensorFlow or similar.
 </li>
 <li>
 Communication: Strong written and verbal communication skills in English.
 </li>
 </ul>
 
 
 ﻿
 
 Recommended
 
 
 
 <ul>
 <li>
 Knowledge: A solid understanding of GenAI and CV, with practical project development experience in these areas as well.
 </li>
 <li>
 Education: MTech or MSc with upto 1 year of experience in building AI solutions.
 </li>
 <li>
 Programming: Knowledge of DSA and backend development (FastAPI) using Python.
 </li>
 <li>
 Learning Capabilities: A passion for rapid learning and the ability to quickly adapt to new tools, techniques, and technologies, even when unfamiliar.
 </li>
 </ul>
 
 
 
 
 
 Ready to showcase your talents?
 
 
 
 
 Submit your resume, and let us see what you'vs got!
 
 
</div>

Data Science Curriculum Intern

Apple

<div>
 
 Summary
 
 
 
 Imagine what you could do here. At Apple, new insights have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Smart people and inspiring, innovative technologies are the norms here. Do you love working on challenges that no one has solved yet? Are you ready to be part of a team transforming wireless technology? Join us to help deliver the next groundbreaking Apple product!
 
 
 
 Description
 
 
 
 Apple&rsquo;s Modem Tools Software team is seeking talented, highly motivated, and disciplined engineers to build and improve best-in-class software triaging and analysis tool for debugging and deep inspection of modem logs. This role requires strong system-level thinking, solid software design and development expertise, and the ability to understand and debug complex, distributed environments. In this role, in addition to building best-in-class tooling solution you will also play a key role in modernizing the tooling ecosystem by incorporating AI/ML powered capabilities and enabling intelligent, automated, and accelerated triaging workflows.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 The position involves collaborating with world-class hardware and software teams, understanding their everyday problems, identifying solutions to make a smoother triaging experience enabling them to bring the best cellular solutions.
 </li>
 <li>
 Design, develop and maintain advanced and intelligent triaging solutions
 </li>
 <li>
 Build scalable, maintainable software architecture for complex diagnostic workflows.
 </li>
 <li>
 Apply AI and machine learning technologies to development tools and workflows, creating intelligent systems that to automate failure detection, root-cause analysis, and triaging to enhance engineering productivity
 </li>
 <li>
 Design and implement machine learning models that solve day-to-day problems
 </li>
 <li>
 Collaborate with cross-functional teams to integrate AI-driven networking features into system architecture and hardware platforms
 </li>
 <li>
 Optimize ML/SLM models for on-device inference, balancing accuracy with power consumption and computational constraints
 </li>
 <li>
 Analyze large-scale network telemetry data to identify patterns, anomalies, and opportunities for ML-based improvements
 </li>
 <li>
 Drive innovation by researching emerging technologies and AI techniques, prototyping novel solutions
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 At least 5-8 years&rsquo; experience with strong software development background and application development
 </li>
 <li>
 Strong Software Engineering skills including design, programming (C++/Java/Swift and Python) and debugging
 </li>
 <li>
 Demonstrated strong experience with machine learning frameworks(PyTorch/TensorFlow) and applying ML techniques to solve real-world problems
 </li>
 <li>
 At least 2 years of experience working with GenAI, RAG and Vector databases
 </li>
 <li>
 Excellent written and verbal communication skills with an ability to collaboratively work with various teams
 </li>
 <li>
 Strong communication skills, strong interpersonal skills, self-starter and strong initiative skills
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelors or Master&rsquo;s in Computer Science Engineering
 </li>
 <li>
 Highly motivated and self-directed
 </li>
 <li>
 Excellent problem-solving skills
 </li>
 <li>
 Experience working in cross functional environments and can clearly communicate while confidently participating in active discussions
 </li>
 <li>
 Passionate and inquisitive and seek to solve everyday problems in innovative ways
 
 
 </li>
 </ul>
</div>

Software Development Engineer

Kong

<div>
 
 Are you ready to power the World's connections?
 
 
 
 If you don&rsquo;t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we&rsquo;re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.
 
 
 
 About The Role
 
 
 
 The Engineering Manager for the AI Platform team will lead a team of AI/ML engineers, applied scientists, and platform engineers building Kong's next-generation AI capabilities. You'll be responsible for building and scaling a high-performing team, driving technical execution, and collaborating with product and leadership to define the roadmap for AI features across Kong's platform. This role requires a strong technical background in either AI/ML or platform engineering, proven people management experience, and the ability to navigate the rapidly evolving AI landscape while delivering production-ready systems at scale.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Lead, mentor, and grow a team of 6-10 engineers, including AI/ML engineers, applied scientists, and platform engineers.
 </li>
 <li>
 Build a strong engineering culture focused on innovation, quality, collaboration, and continuous learning in the AI domain.
 </li>
 <li>
 Drive technical execution across multiple parallel initiatives, ensuring timely delivery of high-quality AI features.
 </li>
 <li>
 Partner with product managers to define roadmaps, prioritize work, and align team efforts with business objectives.
 </li>
 <li>
 Conduct regular 1:1s, provide coaching and feedback, and support career development for all team members.
 </li>
 <li>
 Lead hiring efforts to scale the team, including defining role requirements, conducting interviews, and making hiring decisions.
 </li>
 <li>
 Collaborate with cross-functional teams, including Gateway, Dev Portal, and other product teams, to integrate AI capabilities.
 </li>
 <li>
 Establish engineering best practices for AI/ML development, including evaluation frameworks, safety guardrails, and responsible AI principles.
 </li>
 <li>
 Drive technical strategy and architectural decisions for AI platform services and infrastructure.
 </li>
 <li>
 Manage team performance through goal setting, performance reviews, and fostering accountability.
 </li>
 <li>
 Balance innovation and experimentation with pragmatic delivery of production systems.
 </li>
 <li>
 Communicate technical progress, challenges, and strategic recommendations to senior leadership.
 </li>
 <li>
 Own incident response and operational excellence for AI platform services.
 </li>
 <li>
 Advocate for the team's needs in terms of resources, tooling, and organizational support.
 
 
 </li>
 </ul>
 
 What You'll Bring
 
 
 
 <ul>
 <li>
 3+ years of engineering management experience leading teams of 5+ engineers.
 </li>
 <li>
 8+ years of total software engineering experience with a strong technical background in one or more of AI/ML engineering, distributed systems, or platform engineering.
 </li>
 <li>
 Demonstrated success building and scaling high-performing engineering teams.
 </li>
 <li>
 Experience managing teams working on AI/ML systems, large language models, or ML infrastructure (strongly preferred).
 </li>
 <li>
 Strong technical credibility with the ability to engage in architecture discussions, code reviews, and technical decision-making.
 </li>
 <li>
 Experience hiring, onboarding, and developing engineers at different seniority levels.
 </li>
 <li>
 Proven ability to drive execution on complex, ambiguous projects with multiple stakeholders.
 </li>
 <li>
 Strong communication skills with the ability to influence across technical and non-technical audiences.
 </li>
 <li>
 Experience working in fast-paced environments and balancing competing priorities.
 </li>
 <li>
 Understanding of modern AI/ML technologies, including LLMs, vector databases, and ML infrastructure.
 </li>
 <li>
 Knowledge of cloud platforms (AWS preferred) and container orchestration (Kubernetes).
 </li>
 <li>
 Experience with agile development methodologies and iterative delivery practices.
 </li>
 <li>
 Track record of fostering inclusive and collaborative team environments.
 </li>
 <li>
 Ability to provide technical guidance while empowering teams to make decisions.
 </li>
 <li>
 Experience managing globally distributed teams across multiple time zones.
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 <ul>
 <li>
 Experience managing teams building production AI/ML applications or ML platforms.
 </li>
 <li>
 Background as an AI/ML engineer, data scientist, or ML platform engineer.
 </li>
 <li>
 Experience with AWS AI/ML services (Bedrock, SageMaker) or similar platforms.
 </li>
 <li>
 Knowledge of LLM application development, prompt engineering, or agentic workflows.
 </li>
 <li>
 Experience in API Gateway, developer tools, or platform engineering domains.
 </li>
 <li>
 Understanding of responsible AI practices, AI safety, and alignment principles.
 </li>
 <li>
 Experience managing teams through 0-to-1 product development.
 </li>
 <li>
 Track record of technical writing, conference speaking, or thought leadership in AI/ML.
 </li>
 <li>
 Experience with performance management and difficult conversations.
 </li>
 <li>
 Background in building MLOps infrastructure or ML engineering platforms.
 </li>
 <li>
 Familiarity with Kong's products or the API management ecosystem.
 </li>
 <li>
 Experience managing teams supporting high-availability SaaS or PaaS offerings.
 </li>
 <li>
 Knowledge of compliance frameworks and building audit-ready AI systems.
 </li>
 <li>
 Experience collaborating with research teams or applied scientists.
 </li>
 <li>
 Active involvement in AI/ML communities or open-source contributions.
 
 
 </li>
 </ul>
 
 About Kong
 
 
 
 Kong Inc., a leading developer of API and AI connectivity technologies, is building the infrastructure that powers the agentic era. trusted by the Fortune 500 and startups alike, Kong's unified API and AI platform, Kong Konnect, enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI models. For more information, visit www.konghq.com.
 
 
</div>

Engineering Manager, Konnect Core Platform

Turing

<div>
 
 
 About Turing:
 
 
 
 Based in San Francisco, California, Turing is the world&rsquo;s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&amp;L
 
 
 
 
 
 
 Role Overview:
 
 
 
 We are looking for experienced
 
 Data Analysts (MLE Bench)
 
 to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on analytical work with production-like datasets, metrics, and ML outputs to help evaluate, diagnose, and improve the performance of advanced AI systems.
 
 
 
 
 
 The ideal candidate is comfortable working at the intersection of data analysis and machine learning, with strong analytical rigor and the ability to work with real datasets and ML evaluation workflows.
 
 
 
 
 
 
 What does day-to-day life look like?
 
 
 <ul>
 <li>
 Analyze structured and unstructured datasets generated from
 
 ML training, inference, and evaluation pipelines
 
 .
 </li>
 <li>
 Define, compute, and validate
 
 metrics
 
 used to evaluate model performance and behavior.
 </li>
 <li>
 Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks.
 </li>
 <li>
 Write and run
 
 Python and SQL
 
 code to analyze data, create reports, and support evaluation workflows.
 </li>
 <li>
 Validate data quality, consistency, and correctness across datasets and experiments.
 </li>
 <li>
 Create clear, well-documented analytical artifacts and reproducible analysis workflows.
 </li>
 <li>
 Collaborate with ML engineers and researchers to design
 
 challenging, real-world evaluation scenarios
 
 for MLE Bench.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Minimum
 
 3+ years
 
 of experience as a
 
 Data Analyst or Analytics-focused Engineer
 
 .
 </li>
 <li>
 Strong proficiency in
 
 Python
 
 for data analysis.
 </li>
 <li>
 Solid experience with
 
 SQL
 
 and relational datasets.
 </li>
 <li>
 Experience analyzing
 
 ML outputs and evaluation metrics
 
 .
 </li>
 <li>
 Strong understanding of statistics and analytical reasoning.
 </li>
 <li>
 Ability to work with
 
 large, complex datasets
 
 and draw reliable insights.
 </li>
 <li>
 Experience writing
 
 clean, readable, and well-documented analytical code
 
 .
 </li>
 <li>
 Excellent spoken and written
 
 English communication skills
 
 .
 </li>
 </ul>
 
 
 
 
 
 Perks of Freelancing With Turing:
 
 
 <ul>
 <li>
 Work in a fully remote environment.
 </li>
 <li>
 Opportunity to work on cutting-edge AI projects with leading LLM companies.
 </li>
 </ul>
 
 
 
 
 
 Offer Details:
 
 
 <ul>
 <li>
 
 Commitments Required:
 
 At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.
 </li>
 <li>
 
 Engagement Type:
 
 Contractor assignment (no medical/paid leave)
 </li>
 <li>
 
 Duration of Contract:
 
 3 months (adjustable based on engagement)
 </li>
 </ul>
 
 
 
 
 Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
 
</div>

Remote Data Analyst - 60736

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Remote Data Analyst - 60736