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Job Details
- Job Title: ML Engineer II - Aws, Aws Cloud
- Industry: Technology
- Domain - Information technology (IT)
- Experience Required: 6-12 years
- Employment Type: Full Time
- Job Location: Pune
- CTC Range: Best in Industry
Job Description:
Core Responsibilities:
? The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
? Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
? Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
? Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
? System Integration: Integrate models into existing systems and workflows.
? Model Deployment: Deploy models to production environments and monitor performance.
? Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
? Continuous Improvement: Identify areas for improvement in model performance and systems.
Skills:
? Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
? Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph
? Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
? Knowledge of model monitoring and performance evaluation.
Required experience:
? Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements
? AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in
ML workflows
? AWS data: Redshift, Glue
? Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)
Skills: Aws, Aws Cloud, Amazon Redshift, Eks
Must-Haves
Aws, Aws Cloud, Amazon Redshift, Eks
NP: Immediate – 30 Days
We're Hiring: Golang Developer (3–5 Years Experience)
Location: Mumbai
We are looking for a skilled Golang Developer with strong experience in backend development, microservices, and system-level programming. In this role, you will work on high-performance trading systems, low-latency architecture, and scalable backend solutions.
Key Responsibilities
• Develop and maintain backend services using Golang
• Build scalable, secure, and high-performance microservices
• Work with REST APIs, WebSockets, message queues, and distributed systems
• Collaborate with DevOps, frontend, and product teams for smooth project delivery
• Optimize performance, troubleshoot issues, and ensure system stability
Skills & Experience Required
• 3–5 years of experience in Golang development
• Strong understanding of data structures, concurrency, and networking
• Hands-on experience with MySQL / Redis / Kafka or similar technologies
• Good understanding of microservices architecture, APIs, and cloud environments
• Experience in fintech/trading systems is an added advantage
• Immediate joiners or candidates with up to 30 days notice period preferred
If you are passionate about backend engineering and want to build fast, scalable trading systems.
About Us
Dolat Capital is a multi-strategy quantitative trading firm specializing in high-frequency and fully automated trading systems across global markets. We build proprietary algorithms using advanced mathematical, statistical, and computational techniques.
We are looking for an Experienced Quantitative Researcher to develop, test, and optimize quantitative trading strategies—primarily for APAC markets. The ideal candidate brings strong mathematical thinking, hands-on trading experience, and a track record of building profitable models.
Key Responsibilities
- Research, design & develop quantitative trading strategies
- Analyse large datasets and build predictive models / regression models
- Implement models in Python / C++ / Matlab
- Monitor, execute, and improve existing trading strategies
- Collaborate closely with traders, developers, and researchers
- Optimize trading systems, reduce latency, and enhance execution
- Identify new trading opportunities across listed products
- Oversee and manage risk for options, equities, futures, and other instruments
Required Skills & Experience
- Minimum 3+ years experience on a high-volume equities, futures, options, or market-making desk
- Strong background in Statistics, Mathematics, Physics, or related field (PhD)
- Proven track record of profitable real-world trading strategies
- Strong programming experience: C++, Python, R, Matlab
- Experience with automated trading systems and exchange protocols
- Ability to work in a fast-paced, high-pressure trading environment
- Excellent analytical skills, precision, and attention to detail
.NET (with Angular).
Job Description:
· Must be very strong in UI framework (Angular)
· Good understanding of core JavaScript and OOJS concepts.
· Working experience in Web services (SOAP/Restful) integration, failure analysis etc...
· Hands-on development experience using JavaScript, HTML5, CSS 3, AJAX, JSON, Bootstrap, Angular.
· Full stack development experience with C#, ASP.NET MVC, Web API.
· SQL Server
Knowledge or experience on any nosql.
· Understanding of back-end technologies.
· Good Communication and analytic skills
· Ability to manage a team and fulfill their technical needs.
· Critical thinker and problem-solving skills
· Team player
· Good time-management skills
· Great interpersonal and communication skills.
Experience: 2-3 years of experience in video editing, preferably within fintech, tech, or digital marketing.
Technical Skills: Proficiency in Adobe Premiere Pro, After Effects, Final Cut Pro, and other relevant editing software.
Portfolio: A portfolio demonstrating a range of video editing work, showcasing strong storytelling and visual design.
Creativity & Attention to Detail: Strong sense of timing, pacing, and ability to convey messages effectively through visuals.
Collaboration & Communication: Excellent team-working skills to liaise with cross-functional teams and incorporate feedback.
About TechWeirdo:
Techweirdo delivers secure enterprise solutions from SaaS to On-Premise, anywhere, from Application to AI. We offer consultation, services and products to holistically address the digital transformation goals of the enterprises.
We are currently hiring a passionate, product-oriented MERN stack engineer to join a collaborative and innovative team to create technologically challenging, visually delightful, and easy-to-use digital products in a fast-paced environment.
Key Responsibilities:
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Design, build, optimize different modules of scalable applications on MERN stack
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Work closely with architects, business analysts, product managers, QA and UI designers to understand the deliverable and business priorities, UX flow and deliver QA approved, unit-testable solutions
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Collaborate with other members of technical team, delegate tasks, participate in code reviews and find out scope of further optimization
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Appear in project interviews, product roadmap discussions, feasibility analysis and sprint retrospective meetings to help in smooth project delivery as per customer expectation and technological excellence.
Skills/ Role Requirements:
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Strong knowledge of Node.js, Express, Microservices, npm packages
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Reactjs (exposure to Typescript is preferred)
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MongoDB, MySQL or any other Sql database
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Ability to write high quality REST APIs in Nodejs and Express
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Ability to create highly scalable and modular components
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Strong knowledge of using ORMs (Sequelize, mongoose)
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Hands-on experience on deploy, monitor, optimize, load-balance large scale nodejs applications on production
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Experience in serverless architecture either lambda or google cloud functions are a plus
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Hands-on experience on Docker, message queue, Redis, AWS managed services are a plus
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Server-side rendering (Nextjs), knowledge of Unix, shell script, deployment, and code sanitization/optimization (Intermediate)
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Have experience in working on large scale enterprise applications
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Strong understanding of coding best practices, error handling, lazy loading, etc.
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Experience in object-oriented design skills.
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An analytical mind and Problem-solving skills
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Open source contribution, active participation in developer communities, publishing own npm packages are plus
Working with TechWeirdo be like:
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Surrounded by curious learners: With a Growth Mindset as our core strength, we created a learning environment with curious tech learners.
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New challenges every day: There is no ordinary day at TechWeirdo, if you like solving problems, then this is the right place for you.
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Zero micro-management, limited supervision: We encourage our team to take on challenging tasks and solve complex problems by taking ownership of their tasks. We trust our team to take calculated risks.
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Great networking: You will be connected with c-suite executives of top organizations while working with our winning team.
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Building technology how you want, when you want: We welcome people who see things differently as they are the one who has ability to change the world.
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Being heard in every meeting: At TechWeirdo, suggestions are encouraged, initiatives are supported, and opinions and perspectives are valued.
Strong knowledge in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, etc.
Sound Knowlegde querying databases and using statistical computer languages: R, Python, SQL, etc.
Strong understanding creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
QUALIFICATIONS: B.E./ B.Tech. (Electronics/ Electrical/ Mechatronics/ Mechanical)
EMPLOYMENT: Permanent / Full Time
LOCATION: Ahmedabad
EXPERIENCE: 1 to 3 years within automotive industry / software development.
ROLES AND RESPONSIBILITIES
- Develop, Debug simulink/stateflow models according to functional, technical requirements, MAAB guidelines.
- Derive software requirements from system level requirements and establish bi-directional traceability within the models and generated code.
- Generate Code from developed models, generate test vectors, automate tests and document code reviews, test results.
- Automate the data exchange flow between MATLAB models, excel sheets, code testing using m-scripts.
SKILLS AND EXPERIENCE
- Experience in model based development and testing using Mathwork Tools such as MATLAB/Simulink, Stateflow, autocode generation tools Embedded coder or TargetLink.
- Good understanding of the Automotive software development cycle and tool chains
- Should possess a good understanding of C coding, m-scripting, with good debugging and software testing skills.
- Experience in developing MATLAB/ Simulink models from scratch for automotive applications.
- Should have experience in requirements management, and be able to write test cases from them.
- Experience in MBD testing such as MIL/ SIL/PIL.
- Good communication skills in English and Hindi Language.
- Experience in MATLAB verification and validation toolbox like Simulink Design Verifier, Simulink Test, Simulink Coverage is advantageous.
- Basic understanding of Control System Design and Electric Vehicles is a plus.
* Understanding the requirements from Panel
* Coordinating with panels
* Looking after the entire cycle of recruitment that includes headhunting/searching/sourcing potential candidates.
* Sourcing candidates from various job portals, referrals, internal database and networking.
* Short listing resumes by evaluating the candidate’s communication skills, presentation and technical skills based on the requirements.
* Involved in re-sorting & screening the resumes, closely working with Managers for scheduling Meetings/appointments with the candidates.
* Negotiating & convincing candidates to accept the offer and make them join as soon as possible.
* Preparation of Weekly and Monthly report relating to Interviews with number of interviews happened, Offer Made and Candidates Joined.










