Overview : As a Sr. Machine Learning Engineer, you will oversee the entire lifecycle of machine learning models. Your role involves collaborating with cross-functional teams, including data scientists, data engineers, software engineers, and DevOps specialists, to bridge the gap between experimental model development and reliable production systems. You will be responsible for automating ML pipelines, optimizing model training and serving, ensuring model governance, and maintaining the stability of deployed systems. This position requires a blend of experience in software engineering, data engineering, and machine learning systems, along with a strong understanding of DevOps practices to enable faster experimentation, consistent performance, and scalable ML operations. You Will Do : Work with Data Science Leadership and Stakeholders to understand business objectives, map scope of work, and support colleagues in achieving technical deliverables. Invest in strong relationships with colleagues and build a successful followership around a common goal. Build and optimize ML pipelines for feature engineering, model training, and inference. Develop low-latency, high-throughput model endpoints for distributed environments. Maintain cloud infrastructure for ML workloads, including GPUs/TPUs, across platforms like GCP, AWS, or Azure Troubleshoot, debug, and validate ML systems for performance and reliability. Write and maintain automated tests (unit and integration). Supports discussions with Data Engineers to work on data collection, storage, and retrieval processes. Collaborate with Data Governance to identify data issues and propose data cleansing or enhancement solutions. Drive continuous improvement efforts in enhancing performance and providing increased functionality, including developing processes for automation. Skills : Group Work Lead: Ability to lead portions of pod iteratives; can clearly communicate priorities and play an effective technical support role for colleagues. Communication: Maintaining timely communication with management and stakeholders on project progress, issues, and concerns. D Consultive Mindset: Go beyond just providing analytics and actively engage stakeholders to understand their challenges and goals. Cloud & ML Ops: Expertise in managing cloud-based ML infrastructures (GCP, AWS, or Azure), coupled with DevOps practices, ensures seamless model deployment, scalability, and system reliability. This includes containerization, CI/CD pipelines, and infrastructure-as-code tools. Proficiency in programming languages such as Python, SQL, and Java. Who You Are 4+ years of industry experience working with machine learning tools and technologies. Experience using Tensorflow, PyTorch, scikit-learn, Kubeflow, pandas and numpy. and frameworks like Ray, Dask preferred. Expertise in data engineering, object-oriented programming, and familiarity with microservices and cloud technologies. An ongoing learner who seeks out emerging technology and can influence others to think innovatively. Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision. Able to work a flexible schedule based on department and company needs. Show more Show less
Job description Job Title: Guidewire Developer Location: Gurugram Experience: 4–10 Years Employment Type: Full-Time Job Summary: We are looking for an experienced Guidewire Developer to join our team and contribute to the design, development, and deployment of Guidewire InsuranceSuite applications (Policy Center, Billing Center, or Claim Center). This role is ideal for candidates with a strong understanding of insurance business processes and hands-on experience in Guidewire configuration and integration. Key Responsibilities: Design, develop, and implement solutions on the Guidewire platform (PolicyCenter, BillingCenter, or ClaimCenter). Customize Guidewire applications using Gosu programming and XML-based configurations. Work with business analysts and technical teams to understand requirements and translate them into high-quality technical solutions. Develop APIs and integrations with external systems (e.g., rating engines, payment gateways, third-party vendors). Participate in code reviews, unit testing, and performance tuning. Provide production support and troubleshoot complex issues as needed. Maintain documentation related to development processes, configurations, and system integrations. Collaborate with QA, DevOps, and Product teams to ensure smooth deployment and continuous improvement. Preferred Qualifications: Guidewire certification(s) (Configuration/Integration) is a strong plus. Experience in cloud deployments (AWS, Azure) is a bonus. Exposure to CI/CD pipelines and tools like Jenkins, Git, JIRA, etc. Show more Show less
Company Description At First Connect, we're dedicated to being more than just a solutions provider – we're your strategic partner in driving business growth. Specializing in Recruitment Solutions, Marketing Solutions, and Product & Tech Development, we offer integrated solutions designed to address your most pressing challenges and unlock new opportunities. Our recruitment services focus on aligning top-tier talent with your company's culture and strategic goals, while our comprehensive marketing solutions amplify your brand’s message to reach your target audience. Our experienced team also delivers innovative technology solutions to enhance customer experiences and drive efficiency. We're committed to long-term partnerships, providing personalized solutions, and delivering exceptional value. Role Description This is a full-time remote role for a Lead Data Scientist. The Lead Data Scientist will be responsible for leading data-driven projects, developing data models and algorithms, conducting data analysis, and providing strategic insights. Daily tasks include managing data collection processes, analyzing large datasets, creating predictive models, and collaborating with cross-functional teams to implement data-driven strategies. The role also involves mentoring junior data scientists and staying updated with new data science trends and technologies. Qualifications Proficiency in Data Analysis, Data Modeling, and Data Collection Experience with Predictive Modeling and Algorithm Development Skill in Programming Languages such as Python, R, and SQL Strong knowledge of Machine Learning techniques and tools Ability to manage and analyze large datasets Excellent problem-solving and critical-thinking skills Strong communication skills and ability to collaborate with cross-functional teams Master's or PhD in Data Science, Statistics, Computer Science, or related field Relevant industry experience is a plus
Job Description: · Responsible for achieving student enrolment targets in the assigned centres. · Establish relationships with schools and educational institutions. · Conducting seminars / Presentations to schools / students. · Visiting schools colleges & institutes for presentations · Follow-up(S) Counselling Students and Parents. · Generating Admissions. Job Types: Full-time, Permanent Pay: ₹12,860.75 - ₹49,558.07 per month Benefits: Health insurance Paid sick time Provident Fund Work Location: In person
Job Description: · Responsible for achieving student enrolment targets in the assigned centres. · Establish relationships with schools and educational institutions. · Conducting seminars / Presentations to schools / students. · Visiting schools colleges & institutes for presentations · Follow-up(S) Counselling Students and Parents. · Generating Admissions. Job Types: Full-time, Permanent Pay: ₹12,860.75 - ₹49,558.07 per month Benefits: Health insurance Paid sick time Provident Fund Work Location: In person