
Job Responsibilities
- Design machine learning systems
- Research and implement appropriate ML algorithms and tools
- Develop machine learning applications according to requirements
- Select appropriate datasets and data representation methods
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
Requirements for the Job
- Bachelor’s/Master's/PhD in Computer Science, Mathematics, Statistics or equivalent field andmust have a minimum of 2 years of overall experience in tier one colleges
- Minimum 1 year of experience working as a Data Scientist in deploying ML at scale in production
- Experience in machine learning techniques (e.g. NLP, Computer Vision, BERT, LSTM etc..) andframeworks (e.g. TensorFlow, PyTorch, Scikit-learn, etc.)
- Working knowledge in deployment of Python systems (using Flask, Tensorflow Serving)
- Previous experience in following areas will be preferred: Natural Language Processing(NLP) - Using LSTM and BERT; chatbots or dialogue systems, machine translation, comprehension of text, text summarization.
- Computer Vision - Deep Neural Networks/CNNs for object detection and image classification, transfer learning pipeline and object detection/instance segmentation (Mask R-CNN, Yolo, SSD).

Similar jobs
ABOUT KRISPCALL
KrispCall is an AI-powered business phone solution helping modern teams manage calls, SMS, and customer communication across geographies. We are expanding our channel ecosystem in India and looking for a Channel Sales Manager who can build and scale partner-led revenue through strong partner recruitment, enablement, and co-selling.
This role is for someone who understands how to create repeatable partner motion. Recruit the right partners, activate them fast, and drive a consistent pipeline.
KEY RESPONSIBILITIES
1) Channel Strategy and Revenue Ownership
- Own channel-led pipeline and revenue targets for assigned regions/segments.
- Build a clear partner plan: partner types, ICP, outreach strategy, onboarding flow, and quarterly execution.
- Create predictable partner sourcing and activation motion, not just one-off partnerships.
2) Partner Acquisition and Onboarding
- Identify and recruit high-fit partners such as resellers, agencies, consultants, system integrators, CRM implementers, and IT service providers.
- Qualify partners using structured criteria (reach, vertical fit, capability, deal velocity potential).
- Lead partner onboarding from start to activation: pitch, commercial alignment, agreement process, and first opportunities.
3) Partner Enablement and Activation
- Train partners on KrispCall positioning, product capabilities, pricing basics, and demo readiness.
- Build partner playbooks: outbound messaging, use cases, objection handling, demo scripts, and lead sharing process.
- Ensure partners can generate and close opportunities independently, with KrispCall support when needed.
4) Co-selling and Deal Execution
- Work with partners on joint pipeline building and deal execution.
- Support partner-driven deals: discovery, solutioning, demos, proposal coordination, and closure.
- Maintain deal hygiene and ensure accurate tracking across stages in CRM.
5) Partner Success and Relationship Management
- Run regular partner check-ins, pipeline reviews, and joint GTM planning.
- Drive partner performance through clear goals: leads, meetings, demos, and closed-won revenue.
- Solve partner blockers quickly: product gaps, collateral gaps, pricing concerns, process delays.
6) Reporting and Forecasting
- Maintain accurate reporting on partner pipeline, conversion rates, and revenue contribution.
- Track partner health metrics: activation time, deal velocity, and repeatability.
- Share insights with internal teams to improve partner program, messaging, and enablement.
7) Events and Ecosystem Presence
- Represent KrispCall at relevant industry events, partner meets, and networking sessions.
- Use events as a partner acquisition and activation channel, not only lead collection.
- Capture learnings and opportunities clearly for internal follow-up.
QUALIFICATIONS AND EXPERIENCE
- 3 to 6 years of experience in channel sales, partnerships, alliance management, or B2B SaaS sales with channel exposure.
- Proven track record of building pipeline and revenue through partners.
- Experience working with SMB or mid-market partners is a plus.
- Familiarity with SaaS selling motion, partner ecosystems, and basic CRM discipline.
SKILLS REQUIRED
- Partner recruitment and relationship building
- Partner enablement and activation
- Strong business communication and negotiation
- Pipeline management and forecasting
- Ability to run structured partner programs and processes
- Comfortable representing the company externally at events and partner meetings
- Strategic thinking with hands-on execution
WHAT WE OFFER
- Competitive salary with performance-linked incentives
- Ownership of a high-impact growth channel at KrispCall
- Strong growth path into Head of Partnerships or Regional Channel Lead
- Exposure to a fast-moving SaaS environment with real autonomy
- Access to events, partner ecosystems, and strategic GTM initiatives
WHY JOIN KRISPCALL?
At KrispCall, channel is not a side function. It’s a core growth lever. You will directly influence partner-led revenue, help shape the partner program, and build a scalable channel engine in India. If you enjoy building ecosystems, working with ambitious partners, and driving measurable revenue outcomes, we would like to meet you.
Strong Data Architect, Lead Data Engineer, Engineering Manager / Director Profile
Mandatory (Experience 1) - Must have 10+ YOE in Data Engineering roles, with at least 2+ years in a Leadership role
Mandatory (Experience 2) - Must have 7+ YOE in hands-on Tech development with Java (Highly preferred) or Python, Node.JS, GoLang
Mandatory (Experience 3) - Must have recent 4+ YOE with high-growth Product startups, and should have implemented Data Engineering systems from an early stage in the Company
Mandatory (Experience 4) - Must have strong experience in large data technologies, tools like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto etc.
Mandatory (Experience 5) - Strong expertise in HLD and LLD, to design scalable, maintainable data architectures.
Mandatory (Team Management) - Must have managed a team of atleast 5+ Data Engineers (Read Leadership role in CV)
Mandatory (Education) - Must be from Tier - 1 Colleges, preferred IIT
Mandatory (Company) - B2B Product Companies with High data-traffic
Preferred Companies
MoEngage, Whatfix, Netcore Cloud, Clevertap, Hevo Data, Snowflake, Chargebee, Fractor.ai, Databricks, Dataweave, Wingman, Postman, Zoho, HighRadius, Freshworks, Mindtickle
Role & Responsibilities
Data Organization and Governance: Define and maintain governance standards that span multiple systems (AWS, Fivetran, Snowflake, PostgreSQL, Salesforce/nCino, Looker), ensuring that data remains accurate, accessible, and organized across the organization.
Solve Data Problems Proactively: Address recurring data issues that sidetrack operational and strategic initiatives by implementing processes and tools to anticipate, identify, and resolve root causes effectively.
System Integration: Lead the integration of diverse systems into a cohesive data environment, optimizing workflows and minimizing manual intervention.
Hands-On Problem Solving: Take a hands-on approach to resolving reporting issues and troubleshooting data challenges when necessary, ensuring minimal disruption to business operations.
Collaboration Across Teams: Work closely with business and technical stakeholders to understand and solve our biggest challenges
Mentorship and Leadership: Guide and mentor team members, fostering a culture of accountability and excellence in data management practices.
Strategic Data Support: Ensure that marketing, analytics, and other strategic initiatives are not derailed by data integrity issues, enabling the organization to focus on growth and innovation.
Key Responsibilities:
- Keyword Research: Conduct thorough keyword research using SEO tools like Google Keyword Planner, SEMrush, and Ahrefs to identify target keywords for optimization.
- On-Page Optimization: Assist in optimizing web pages for SEO, including improving title tags, meta descriptions, headers, and internal linking.
- Content Optimization: Collaborate with the content team to optimize website content, blog posts, and landing pages to ensure they are search-engine friendly.
- Technical SEO Support: Assist in monitoring site performance and troubleshooting SEO-related issues like page speed, mobile-friendliness, and site architecture.
- SEO Audits: Conduct basic SEO audits and analyze websites for performance improvements, including broken links, duplicate content, and other technical factors.
- Competitor Analysis: Analyze competitor websites and their SEO strategies to uncover new opportunities for improvement.
- Link Building: Assist in identifying and reaching out for potential backlink opportunities to increase website authority.
- Reporting: Track SEO performance using Google Analytics, Google Search Console, and other tools to generate insights and monthly reports.
- Stay Updated: Keep up with the latest SEO trends, algorithm updates, and industry best practices to ensure our strategies are always up to date.
Job Title: Subject Matter Expert (SME) – Operations
Location: Mohali / Karnal
Shift: Morning / Evening / Night
Experience: 2+ Years
Languages: English & Punjabi
About the Role:
We are looking for a Subject Matter Expert (SME) to support our Operations team. The SME will play a critical role in providing process expertise, guiding teams, and ensuring operational excellence in the service industry domain.
Key Responsibilities:
- Provide deep process expertise and domain knowledge in operations.
- Support the team with issue resolution, escalations, and process clarifications.
- Train and mentor team members on process improvements and best practices.
- Ensure compliance with SOPs, SLAs, and quality parameters.
- Collaborate with Team Leaders and Managers to optimize operational performance.
Skills & Requirements:
- Minimum 2+ years of experience in the service industry / BPO / KPO.
- Strong process knowledge and ability to guide team members.
- Excellent communication in English & Punjabi.
- Problem-solving and analytical skills with focus on quality and compliance.
- Flexible to work in rotational shifts (morning, evening, night).
Responsibilities:
- Develop and implement digital marketing strategies to drive lead generation and customer acquisition.
- Plan, execute, and optimize paid advertising campaigns across various digital platforms, including Google Ads, Facebook Ads, LinkedIn Ads, etc.
- Conduct keyword research and analysis to identify opportunities for improving search engine visibility and organic traffic.
- Create compelling ad copy and visual assets for digital ads, landing pages, and other marketing collateral.
- Monitor campaign performance, analyze key metrics, and provide actionable insights and recommendations for optimization.
- Collaborate with internal teams, including content creators, designers, and developers, to ensure cohesive and effective digital marketing campaigns.
- Stay updated on industry trends, best practices, and emerging technologies in digital marketing.
Requirements:
- 2-3 years of proven experience in digital marketing, with a focus on lead generation and paid campaigns.
- Proficiency in digital advertising platforms such as Google Ads, Facebook Ads Manager, LinkedIn Ads, etc.
- Strong analytical skills and the ability to interpret data to drive decision-making and campaign optimization.
- Excellent communication skills, both written and verbal.
- Creative thinking and problem-solving abilities.
- Ability to work independently and as part of a collaborative team environment.
We are looking for an experienced Sr.Devops Consultant Engineer to join our team. The ideal candidate should have at least 5+ years of experience.
We are retained by a promising startup located in Silicon valley backed by Fortune 50 firm with veterans from firms as Zscaler, Salesforce & Oracle. Founding team has been part of three unicorns and two successful IPO’s in the past and well funded by Dell Technologies and Westwave Capital. The company has been widely recognized as an industry innovator in the Data Privacy, Security space and being built by proven Cybersecurity executives who have successfully built and scaled high growth Security companies and built Privacy programs as executives.
Responsibilities:
- Develop and maintain infrastructure as code using tools like Terraform, CloudFormation, and Ansible
- Manage and maintain Kubernetes clusters on EKS and EC2 instances
- Implement and maintain automated CI/CD pipelines for microservices
- Optimize AWS costs by identifying cost-saving opportunities and implementing cost-effective solutions
- Implement best security practices for microservices, including vulnerability assessments, SOC2 compliance, and network security
- Monitor the performance and availability of our cloud infrastructure using observability tools such as Prometheus, Grafana, and Elasticsearch
- Implement backup and disaster recovery solutions for our microservices and databases
- Stay up to date with the latest AWS services and technologies and provide recommendations for improving our cloud infrastructure
- Collaborate with cross-functional teams, including developers, and product managers, to ensure the smooth operation of our cloud infrastructure
- Experience with large scale system design and scaling services is highly desirable
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field
- At least 5 years of experience in AWS DevOps and infrastructure engineering
- Expertise in Kubernetes management, Docker, EKS, EC2, Queues, Python Threads, Celery Optimization, Load balancers, AWS cost optimizations, Elasticsearch, Container management, and observability best practices
- Experience with SOC2 compliance and vulnerability assessment best practices for microservices
- Familiarity with AWS services such as S3, RDS, Lambda, and CloudFront
- Strong scripting skills in languages like Python, Bash, and Go
- Excellent communication skills and the ability to work in a collaborative team environment
- Experience with agile development methodologies and DevOps practices
- AWS certification (e.g. AWS Certified DevOps Engineer, AWS Certified Solutions Architect) is a plus.
Notice period : Can join within a month
Job Description :
Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data pipelines at Petabyte scale. Our customers include a Fortune 500 company, one of Asia's largest telecom companies, and a unicorn fintech startup. We are lean, hungry, customer-obsessed, and growing fast. Our Engineering team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment.
Roles & responsibilities:
- Champion engineering and operational excellence.
- Establish a solid infrastructure framework and excellent development and deployment processes.
- Provide technical guidance to both your team members and your peers from the development team.
- Work with the development teams closely to gather system requirements, new service proposals and large system improvements and come up with the infrastructure architecture leading to stable, well-monitored fly, performant and secure systems.
- Be part of and help create a positive work environment based on accountability.
- Communicate across functions and drive engineering initiatives.
- Initiate cross team collaboration with product development teams to develop high quality, polished products and services.
Must haves:
- 5+ years of professional experience developing, and launching software products on Cloud.
- Basic understanding Java/Go Programming
- Good Understanding of Container Technologies/Orchestration platforms (e. g Docker, Kubernetes)
- Deep understanding of AWS or Any Cloud.
- Good understanding of data stores like Postgres, Redis, Kafka, and Elasticsearch.
- Good Understanding of Operating systems
- Strong technical background with track record of individual technical accomplishments
- Ability to handle multiple competing priorities in a fast paced environment
- Ability to establish credibility with smart engineers quickly.
- Most importantly, ability to learn and urge to learn new things.
- B.Tech/M.Tech in Computer Science or a related technical field.
Good to Have:
- Hands-on knowledge of Configuration Management and Deployment tools like – Ansible, Terraform etc.
- Proficient in scripting, and Git and Git workflows
- Experience in developing Continuous Integration/ Continuous Delivery pipelines
- Knowledge of Big Data systems.
Responsibilities:
- Take the lead in building tools to increase the productivity of our business and product teams
- Build client facing portal to support the submission and integration of games from external developers
- Collaborate with teams in a range of disciplines
- Clearly communicate challenges and progress to stakeholders
- Adopt and learn new technologies
Basic Qualifications:
- 5+ years professional experience in software development and a BS or MS in Computer Science or related field
- Solid understanding of Javascript, NodeJS, PHP, SQL, C#
- Strong knowledge of AWS Cloud architecture, services, and DevOps
- Adhere to software design patterns and have knowledge of algorithms
- Experience with databases and database programming (MySQL, NoSQL, etc.)
- Comfortable understanding and implementing REST APIs, knowledge of AJAX patterns and principles
- In-depth knowledge of modern HTML/CSS
- Strong understanding of web architecture, security, cookies, reverse-proxies
- Have a solid knowledge of web debugging tools (Firebug or Chrome Developer Console)
Pluses:
- Bonus points for data warehouse experience (Snowflake, Redshift)
- Experience in game programming and Unity development
- Knowledge of unit testing and test driven development
- A passion for games (of any type) as well as a passion for code
- Knowledge of mobile gaming metrics and the mobile gaming industry
Perks:
- Free medical, dental, and vision insurance
- Work from home stipend on each paycheck
- Competitive Salary
- Flexible Time Off - work hard and take time when you need it
- Interested? Send us your resume and let's talk!
Core
Booking Journal Entries basis bank statements and client.
Preparation of Bank Reconciliation and maintaining the respective financial logs.
Prepare monthly financial reporting package for the Hedge Funds, including the determination of
"Net Asset Value" and prepare the Statement of Asset and Liabilities and Profit and Loss Statement
Ensuring fund income and expenses, including management and performance fees, are accrued for
and are in accordance with relevant accounting standards.
Accurate and timely processing of all capital activities including calls and distributions, transfers,
rollups, capital commitments and calls.
Derive pricing for portfolio investments. Updating status reports.
Cash Management-managing the daily cash flow of trades and monitoring fund cash-flows.
Process incoming and outgoing cash movements related to capital activity.
Reporting-preparing bespoke reports to address client requests.
Independently complete cash, portfolio and capital reconciliations and investigate and resolve any
discrepancies.
Requirements for this role include:
2+ year(s) of accounting experience for financial instruments (equities, fixed income, and derivatives),
operation of capital markets, and life cycle of trades. Good knowledge of Capital Market
Ability to work regularly scheduled shifts.
University degree or equivalent that required 3+ years of formal studies of Finance/Accounting
principles
2+ year(s) of data entry experience that required a focus on quality including attention to detail,
accuracy, and accountability for your work product.
2+ year(s) of experience using MS-Excel that required you to use Formulas, Tables & Formatting,
Conditional Formatting, Charting, Pivot tables & Pivot Reporting.
1+ year(s) of experience in a service-oriented role where you had to correspond in writing or over the
phone with external customers.
Desired qualities:
A drive to broaden one’s knowledge of the financial services industry by learning new concepts and
systems and taking the initiative to apply it to daily work assignments.
Attention-to-detail to ensure that all deliverables consistently meet the highest standard of quality
and accuracy.
Positivity and collegial approach in assisting both colleagues and clients and the ability to work in
team environment.
Curiosity, critical thinking and attention to detail: Whether it’s to identify a solution to a problem or
possibly help implement a more efficient process or procedure, your skills have a place in our
business.













