ml engineer

TechFacto

<p><b>Job Summary:</b></p><p>We are looking for a skilled <b>Machine Learning Engineer</b> to design, build, and deploy intelligent models and algorithms that solve real-world problems. The ideal candidate will have strong analytical skills, programming expertise, and a deep understanding of machine learning principles and frameworks.</p><p><b>Key Responsibilities:</b></p><ul><li>Develop, train, and optimize machine learning and deep learning models.</li><li>Perform data preprocessing, feature engineering, and exploratory data analysis (EDA).</li><li>Build scalable data pipelines and integrate ML models into production systems.</li><li>Collaborate with data scientists, data engineers, and software developers to deploy solutions.</li><li>Evaluate model performance using appropriate metrics and improve model accuracy.</li><li>Research and implement new algorithms and tools for better efficiency and performance.</li><li>Document processes, models, and results for reproducibility and transparency.</li></ul><p><b>Required Skills and Qualifications:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field.</li><li>Strong proficiency in <b>Python</b> and ML libraries such as <b>TensorFlow, PyTorch, Scikit-learn, Keras</b>.</li><li>Experience with <b>data manipulation tools</b> (NumPy, Pandas) and <b>visualization tools</b> (Matplotlib, Seaborn).</li><li>Good understanding of <b>statistics, probability, and linear algebra</b>.</li><li>Experience with <b>model deployment</b> (using Flask, FastAPI, Docker, or cloud platforms like AWS, GCP, Azure).</li><li>Familiarity with <b>version control (Git)</b> and <b>CI/CD pipelines</b>.</li></ul><p><b>Preferred Skills:</b></p><ul><li>Experience with <b>NLP, Computer Vision, or Generative AI</b>.</li><li>Knowledge of <b>MLOps tools</b> (MLflow, Kubeflow, Airflow).</li><li>Exposure to <b>big data technologies</b> (Spark, Hadoop).</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;100,000.00 - &#8377;1,500,000.00 per year</p><p>Work Location: Remote</p>

ML Engineer

<div><p>Job Overview:</p><p>
We are looking for a Machine Learning Engineer / Data Scientist to drive the improvement, evaluation, and optimization of our AI solutions. This role will focus on model development, fine-tuning, and evaluation, ensuring our AI applications and intelligent agents perform at the highest levels of accuracy, efficiency, and reliability.</p><p></p><p>
You will collaborate closely with AI Developers to integrate your optimized models into production systems. Work closely with business stakeholders to define meaningful success metrics. The role blends hands-on engineering with data science experimentation, making it ideal for someone passionate about improving real-world AI solutions.</p><p>
Responsibilities:</p><ul><li>
Fine-tune, optimize, and retrain ML/AI models.</li><li>
Build and maintain evaluation pipelines to test accuracy, robustness, fairness, and efficiency.</li><li>
Automate ML workflows and lifecycle management.</li><li>
Access and prepare high-quality datasets for training and evaluation.</li><li>
Perform light feature engineering and data transformations needed for model optimization.</li><li>
Implement monitoring and feedback loops to track model performance post-deployment.</li><li>
Conduct benchmarking and A/B testing to validate model improvements.</li><li>
Work with Databricks Mosaic AI and cloud ML services (Azure ML, AWS SageMaker) for scalable workloads.</li></ul><p>
Required Skills and Experience:</p><ul><li>
Experience (4 to 8 Years), Proven background in machine learning engineering and MLOps practices.</li><li>
Proficiency in Python with ML/AI frameworks such as PyTorch, TensorFlow, scikit-learn.</li><li>
Hands-on experience with MLflow for model tracking, deployment, and lifecycle management.</li><li>
Experience fine-tuning LLMs or training traditional ML models.</li><li>
Familiarity with evaluation frameworks (DeepEval, RAGAS, custom pipelines).</li><li>
Strong SQL skills and ability to work with structured/unstructured datasets.</li><li>
Exposure to Spark/Databricks for data processing.</li><li>
Understanding of Deep Learning and Neural Network architectures.</li><li>
Experience with cloud ML platforms (Azure, AWS).</li></ul><p>
&ldquo;Nice To Have&rdquo; Skills and Experience:</p><ul><li>
Familiarity with LangChain/LangGraph evaluation and testing tools.</li><li>
Experience with vector databases (Pinecone, FAISS, Weaviate, Chroma).</li><li>
Knowledge of bias, fairness, and explainability tools (SHAP, LIME, InterpretML).</li><li>
Awareness of modern ML benchmarks (HELM, MMLU) for LLM evaluation.</li></ul><p>
In Return:</p><p></p><p>
#LI-LK2</p><p>
Accommodations at Arm</p><p>
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.</p><p>
Hybrid Working at Arm</p><p>
Arm&rsquo;s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team&rsquo;s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.</p><p>
Equal Opportunities at Arm</p><p>
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don&rsquo;t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.</p></div>

Princeton IT America

<p><b>Locations</b></p><p>Bengaluru</p><p><b>Minimum Experience</b></p><p>7</p><p><b>Maximum Experience</b></p><p>9</p><p><b>Mandatory Skills</b></p><p>Data Science , Machine Learning , Artificial Intelligence , Statistics , Deep Learning</p><p><b>Experience</b></p><p>7 to 9 Years</p><p><b>Location</b></p><p>Bengaluru</p><p><b>Job Description</b></p><p>[Project Details]: Do you want to join a Machine Learning team committed to personalizing the PlayStation experience for hundreds of millions of users? The work we do delivers impactful insights to build an increasingly dynamic and interactive experience! The Machine Learning Engineers within the platform engineering group will deliver optimized interactions across PlayStation experiences and systems by designing, coding, training, documenting, cost-effectively deploying and evaluating very large-scale machine learning systems. We are looking for someone who can build delightful products and experiences for millions, in an agile environment, collaborating with teams-across Engineering and Product. Further, you will be immersed in ground-breaking ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives. [Technology and Sub-technology] Technology name : Machine Learning , Statistics , Deep Learning , ML Ops , Data Analytics covering : NLP Linear Regression Classification &amp; Clustering Transfer Learning NLP Forecasting based Models &amp; Algorithms Large Language Models Machine learning frameworks such as Tensorflow, PyTorch, MLlib etc. Data Bricks Sub-technology name: Python, SQL, Spark, Kubernetes, Jenkins, Prometheus [Base Location]: Bangalore [Type]: Hybrid [Qualifications] Master&rsquo;s degree in CS/Statistics/Data Science, with a specialization in machine learning or equivalent experience. 5+ years of experience in Data Science Experience in developing production-level large-scale ML models and data pipelines. Experience with Python or Scala or Java. Industry work experience in designing and implementing machine learning-based solutions that ideally include online safety, voice-activated conversational systems, recommender systems, search engines, personalization, time series forecasting, and A/B testing. Strong machine learning, statistical and analytical skills. [Job Overview]: We are looking for an experienced AI/ML Engineer, who can execute projects end to end and take then to production pipeline. The candidate is expected to lead the AI/ML work across multiple projects, working along with other Data Scientists, ensuring clear understanding and translation of requirements for the team and proposing optimized solutions. He / She would also need to work on Ad hoc timebound POC&rsquo;s. Capability building and team upskill would also be expected from him / her. We would want him / her to share the knowledge with other team members and bring them up to the same level , which includes conducting learning sessions across teams and monitoring the progress of the team members. [Primary Skills]: &#9679; Design and develop various machine learning and deep learning models and systems for high impact consumer applications ranging from predictive safety, content personalization&rsquo;s, search, virtual assistant, time series forecasting and more. &#9679; Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies, in the areas of various machine learning problems such as multilingual text classification, language modelling and multi-modal learning. &#9679; Create metrics and configure A/B testing to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders. &#9679; Analyse and produce insights from a large amount of dynamic structured and unstructured data using modern big data and streaming technologies &#9679; Produce reusable code according to standard methodologies in Python, Scala or Java &#9679; Collaborate with cross-functional teams of technical members and non-technical members in architecture, design, and code reviews. [Good to have Skills]: SQL, Data Analysis , Gaming Industry knowledge [Responsibilities and Duties]: Lead dedicated team of software engineers to architect, build, deploy and support best-in-class software services that are always available to provide the best gaming experience for our customers. Build and develop a high energy, committed, motivated engineering team focusing on engineering and operational excellence to deliver awesome business results. Collaborate across business units and product teams to develop and execute against the team's vision, strategy, and roadmap. Use technical expertise and industry trends to influence software development standard methodologies. Handle day-to-day activities of engineering team using Agile/Scrum methodology. [Keywords] Data Science , Machine Learning , Artificial Intelligence , Statistics , Deep Learning</p><p><b>Job Title</b></p><p>ML Senior Engineer</p><p><b>Type of Employment</b></p><p>Contract</p><p>Job Type: Contractual / Temporary<br/>Contract length: 12 months</p><p>Pay: &#8377;2,000,000.00 - &#8377;3,500,000.00 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

Infolexus solutions

<p><b>Job Title:</b> AI/ML Engineer</p><p><b>Location:</b> Coimbatore</p><p><b>Experience : 0 to 3+ Years</b></p><p><b>Job Summary:</b></p><p>We are seeking a passionate and skilled <b>AI/ML Engineer</b> to design, develop, and deploy intelligent systems that leverage machine learning and artificial intelligence. The ideal candidate will have strong analytical skills, hands-on experience with ML frameworks, and the ability to translate business challenges into data-driven solutions.</p><p><b>Key Responsibilities:</b></p><ul><li>Develop and implement machine learning models and algorithms for real-world applications.</li><li>Preprocess, clean, and analyze large datasets to extract meaningful insights.</li><li>Design, train, and evaluate supervised and unsupervised models (classification, regression, clustering, NLP, etc.).</li><li>Collaborate with data scientists, software engineers, and product teams to integrate ML models into production systems.</li><li>Optimize model performance and scalability using appropriate frameworks and tools.</li><li>Conduct A/B testing and model validation to ensure accuracy and reliability.</li><li>Stay up to date with the latest advancements in AI, ML, and deep learning technologies.</li></ul><p><b>Required Skills &amp; Qualifications:</b></p><ul><li>Proven experience as an <b>AI Engineer, ML Engineer, or Data Scientist</b>.</li><li>Strong proficiency in <b>Python</b> and libraries such as <b>TensorFlow, PyTorch, scikit-learn, NumPy, pandas</b>.</li><li>Knowledge of <b>deep learning, NLP, computer vision</b>, and <b>recommendation systems</b>.</li><li>Experience with <b>data visualization tools</b> (Matplotlib, Seaborn, Power BI, etc.).</li><li>Familiarity with <b>cloud platforms</b> (AWS, Azure, GCP) and <b>containerization tools</b> (Docker, Kubernetes).</li><li>Strong problem-solving and analytical thinking skills.</li><li>Excellent communication and teamwork abilities.</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Experience in <b>deploying ML models to production (MLOps)</b>.</li><li>Understanding of <b>API integration</b> and <b>model monitoring</b>.</li><li>Knowledge of <b>Big Data frameworks</b> (Hadoop, Spark).</li><li>Publications, Kaggle participation, or contributions to open-source AI projects.</li></ul><p>Share your CV to :</p><p>Email ID : recruiter2@infolexus.com</p><p>Contact Person : Kavitha HR</p><p>Contact Number : 8148293680</p><p>Job Type: Full-time</p><p>Pay: &#8377;200,000.00 - &#8377;500,000.00 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

AI/ML Engineer

ixceed

<p><b>Role:</b> AI/ML Engineer<br/><b>Location:</b> Chennai<br/><b>Work Mode:</b> Hybrid<br/><b>Employment Type:</b> Permanent</p><p><b>Position Overview:</b></p><p>We&rsquo;re looking for a Senior AI/ML Engineer to lead the development of cutting-edge machine learning solutions, particularly focusing on Large Language Models (LLMs) and natural language processing (NLP). This role requires a deep understanding of AI technologies and the ability to deliver scalable, high-impact solutions in a collaborative environment.</p><p><b>Key Responsibilities:</b></p><ul><li>Design and build advanced machine learning systems with an emphasis on LLMs to address complex NLP challenges.</li><li>Work with large-scale datasets to uncover insights and create predictive or generative models using state-of-the-art AI methods.</li><li>Collaborate closely with product managers, data scientists, and engineering teams to gather requirements and ensure solutions align with strategic objectives.</li><li>Enhance model efficiency by fine-tuning algorithms for speed, accuracy, and scalability.</li><li>Integrate MLOps best practices for seamless model deployment, lifecycle management, monitoring, and retraining workflows.</li><li>Explore and evaluate new algorithms, tools, and technologies through applied research and experimentation.</li><li>Build and maintain robust data pipelines and infrastructure for training and serving machine learning models.</li><li>Oversee performance of deployed models, making necessary updates to ensure reliability, accuracy, and compliance with standards.</li><li>Keep current with the latest trends, tools, and advancements in AI, ML, LLMs, and NLP, and bring innovative ideas to the table.</li></ul><p>Job Type: Permanent</p><p>Pay: &#8377;2,000,000.00 - &#8377;2,800,000.00 per year</p><p>Experience:</p><ul><li>LLM : 3 years (Required)</li><li>Gen AI : 3 years (Required)</li><li>Machine Learning Models: 5 years (Required)</li><li>Implement MLOps: 3 years (Required)</li></ul><p>Work Location: In person</p>

Eurus Technologies 

<p><b>Positions: 4</b></p><p><b>Job Type: Full Time (On-Site)</b></p><p><b>Location: Islamabad</b></p><p>We are seeking an innovative and experienced <b>AI/ML Engineer </b>to design, develop, and deploy AI/ML solutions that address real-world challenges. The role involves building and optimizing models, crafting effective prompts for LLMs, and integrating AI into production systems at scale.</p><p><b>Responsibilities:</b></p><ul><li>Design, develop, and deploy machine learning and deep learning models.</li><li>Preprocess, clean, and organize large datasets for optimal model performance.</li><li>Collaborate with data scientists and software engineers to integrate AI models into applications.</li><li>Design, test, and refine prompts to optimize Large Language Model (LLM) outputs for accuracy, relevance, and efficiency.</li><li>Optimize model performance, scalability, and resource utilization in production environments.</li><li>Stay current with advancements in AI/ML and prompt engineering techniques.</li><li>Develop APIs and services for model consumption.</li></ul><p><b>Qualifications:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.</li><li>Proven experience in machine learning and AI solution development.</li><li>Proficiency in Python and frameworks/libraries such as TensorFlow, PyTorch, or scikit-learn.</li><li>Hands-on experience with prompt engineering for LLMs (e.g., GPT, Claude, or similar).</li><li>Strong understanding of statistics, data modeling, and deep learning concepts.</li><li>Experience deploying models using Docker, Kubernetes, or Cloud ML services..</li></ul><p><b>Nice to Have:</b></p><ul><li>Experience with natural language processing (NLP), computer vision, or reinforcement learning.</li><li>Familiarity with MLOps practices and CI/CD pipelines for ML.</li><li>Experience with cloud AI platforms, such as:</li><li>AWS Bedrock, AWS SageMaker</li><li>GCP AI Platform, Vertex AI Generative AI Studio</li><li>Azure ML, Azure AI Studio</li></ul><p><b>Compensation and Benefits:</b></p><ul><li>Market Competitive Salary</li><li>Personal and Family Medical Insurance</li><li>Personal Life Insurance</li><li>Parental Medical Insurance</li><li>Personal and Family OPD</li><li>Weekly Meal</li><li>EOBI</li><li>Paid Technical Certifications</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Standard Chartered Bank

<div><div><div><div><div><div><div><div><p>Job ID: 42399
 </p><p>Location: Bangalore, IN
 </p><p>Area of interest: Technology
 </p><p>Job type: Regular Employee
 </p><p>Work style: Office Working
 </p><p>Opening date: 15 Oct 2025
</p></div>
</div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><div><b>Job Summary</b></div>
</div><div><ul><li>Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch</li><li>Strong analytical and problem-solving skills</li><li>Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++</li><li>Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies</li><li>Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques</li><li>Proven ability to apply, debug, and develop machine learning models</li><li>Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation,</li><li>Choose suitable DL algorithms, software, hardware and suggest integration methods.</li><li>Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines &amp; Standards</li><li>To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery</li><li>Coach and mentor our team as we build scalable machine learning solutions</li><li>Strong communication skills and an easy-going attitude</li><li>Oversee development and implementation of assigned programs and guide teammates</li><li>Carry out testing procedures to ensure systems are running smoothly</li><li>Ensure that systems satisfy quality standards and procedures</li><li>Build and manage strong relationships with stakeholders and various teams internally and externally,</li><li>Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders</li></ul></div></div><div><div><div><b>
Key Responsibilities</b></div>
</div><div><div><b>
Strategy</b><br>
<ul><li>As the Squad Lead of AI ML Delivery team, the candidate is expected to lead the squad Delivery for AIML.</li></ul></div>
<div><b>
Business</b><br>
<ul><li>Understand the Business requirement and execute the ML solutioning and ensue the delivery commitments are delivered on time and schedule.</li></ul></div>
<div><b>
Processes</b><br>
<ul><li>Design and Delivery of AI ML Use cases</li><li>RAI, Security &amp; Governance</li><li>Model Validation &amp; Improvements</li><li>Stakeholder Management</li></ul></div>
<div><b>
People &amp; Talent</b><br>
<ul><li>Manage the team in terms of project assignments and deadlines</li><li>Manage a team dedicated for reviewing models related unstructured and structured data.</li><li>Hire, nurture talent as required.</li></ul></div>
<div><b>
Risk Management</b><br>
<ul><li>Ownership of the delivery, highlighting various risks on a timely manner to the stakeholders.</li><li>Identifying proper remediation plan for the risks with proper risk roadmap.</li></ul></div>
<div><b>
Governance</b><br>
<ul><li>Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the role.</li></ul></div></div></div><div></div><div><div>
</div><div><div><b>
Regulatory &amp; Business Conduct</b><br>
<ul><li>Display exemplary conduct and live by the Group&rsquo;s Values and Code of Conduct.</li><li>Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.</li><li>Lead to achieve the outcomes set out in the Bank&rsquo;s Conduct Principles</li></ul><b>
Key stakeholders</b><br>
<ul><li>Business Stakeholders</li><li>AIML Engineering Team</li><li>AIML Product Team</li><li>Product Enablement Team</li><li>SCB Infrastructure Team</li><li>Interfacing Program Team</li></ul></div></div></div><div><div><div><b><br>
Qualifications</b></div>
</div><div><ul><li>Masters with specialisation in Technology</li><li>8- 12 years relevant of Hands-on Experience</li></ul></div></div><div><div><div><b>
Skills and Experience</b></div>
</div><div><ul><li>Use NLP, Vision and ML techniques to bring order to unstructured data</li><li>Experience in extracting signal from noise in large unstructured datasets a plus</li><li>Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems</li><li>Work alongside an excellent, cross-functional team across Engineering, Product and Design</li><li>create solutions and try various algorithms to solve the problem.</li><li>Stakeholder Management</li></ul></div></div><div><div><div><b>
About Standard Chartered</b></div>
</div><div><div>
We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.</div>
<div>Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.</div>
<div>Together we:</div>
<ul><li><b>Do the right thing</b> and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do</li>
<li><b>Never settle,</b> continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well</li>
<li><b>Are better together,</b> we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term</li>
</ul></div></div><div><div><div><b>What we offer</b></div>
</div><div><div><b>
In line with our Fair Pay Charter,</b> we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.</div>
<ul><li><b>Core bank funding for retirement savings, medical and life insurance,</b> with flexible and voluntary benefits available in some locations.</li>
<li><b>Time-off</b> including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.</li>
<li><b>Flexible working</b> options based around home and office locations, with flexible working patterns.</li>
<li><b>Proactive wellbeing support</b> through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits</li>
<li><b>A continuous learning culture</b> to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.</li>
<li><b>Being part of an inclusive and values driven organisation,</b> one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.</li>
</ul></div></div></div>
</div></div></div></div><div><div><p>www.sc.com/careers</p></div></div></div><div></div>

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